{"id":"W3216731464","doi":"10.23952/asvao.6.2024.2.01","title":"Forward-backward splitting with deviations for monotone inclusions","year":2024,"lang":"en","type":"article","venue":"Applied Set-Valued Analysis and Optimization","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Knut och Alice Wallenbergs Stiftelse","keywords":"Monotone polygon; Mathematics; Convergence (economics); Norm (philosophy); Bounded function; Monotonic function; Applied mathematics; Algorithm; Rate of convergence; Metric (unit); Mathematical optimization; Computer science; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004479575,0.0002092089,0.0003334064,0.0007602106,0.000585977,0.0006427892,0.0002450268,0.00008847011,0.00005829354],"category_scores_gemma":[0.00003593378,0.0001711241,0.0001781633,0.003880108,0.00003342937,0.0004682999,0.0001252044,0.00008829204,0.000007527372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005843796,"about_ca_system_score_gemma":0.00009401502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002775961,"about_ca_topic_score_gemma":0.00003345412,"domain_scores_codex":[0.9983374,0.0000390808,0.0004083736,0.0006555782,0.0003247314,0.0002348535],"domain_scores_gemma":[0.9989612,0.0001937486,0.0001383986,0.0003390902,0.0002444385,0.0001231388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006566755,0.00002307896,0.0001129774,0.0000171864,0.0006831673,4.928718e-7,0.0003839401,0.7426316,0.0000251647,0.2542805,0.00007552234,0.001759771],"study_design_scores_gemma":[0.0002895756,0.00002697483,0.0002335161,0.00001218036,0.001264061,0.000001337981,0.00008217435,0.9948068,0.00007199196,0.002396804,0.0005767947,0.0002377527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003592689,0.0001266369,0.99664,0.001416954,0.00003977593,0.0003471985,0.00002795709,0.0002493546,0.0007928986],"genre_scores_gemma":[0.4496534,0.0000971245,0.5489366,0.0003044746,0.00006076304,0.0001348447,0.0005207706,0.00001882732,0.0002732139],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4492941,"threshold_uncertainty_score":0.6978241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107063209755435,"score_gpt":0.2521069646129878,"score_spread":0.2414006436374443,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}